Prediction of Metabolic Syndrome in Children through Anthropometric Indicators

Detalhes bibliográficos
Autor(a) principal: Ferreira, Aparecido Pimentel
Data de Publicação: 2011
Outros Autores: Ferreira, Cristiane Batisti, Brito, Ciro José, Pitanga, Francisco José Gondim, Moraes, Clayton Franco, Naves, Luciana Ansaneli, Nóbrega, Otávio de Toledo, França, Nancí Maria de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://www.repositorio.ufba.br/ri/handle/ri/5504
Resumo: 121-125 p.
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spelling Ferreira, Aparecido PimentelFerreira, Cristiane BatistiBrito, Ciro JoséPitanga, Francisco José GondimMoraes, Clayton FrancoNaves, Luciana AnsaneliNóbrega, Otávio de ToledoFrança, Nancí Maria deFerreira, Aparecido PimentelFerreira, Cristiane BatistiBrito, Ciro JoséPitanga, Francisco José GondimMoraes, Clayton FrancoNaves, Luciana AnsaneliNóbrega, Otávio de ToledoFrança, Nancí Maria de2012-03-05T17:40:55Z2012-03-05T17:40:55Z20111678-4170http://www.repositorio.ufba.br/ri/handle/ri/550496(2)121-125 p.Background: Because of the need to measure anthropometric, biochemical and hemodynamic variables for the diagnosis of metabolic syndrome, we realize how difficult it is to analyze large populations, especially children, due to the poor accessibility and the invasive character. There is an urgent need to develop easy-to-use, accurate and low-cost diagnostic tools in order to predict metabolic syndrome at early ages. Objective: To verify the prevalence of metabolic syndrome in children and to test predictive anthropometric indicators. Methods: Cross-sectional study conducted among 109 children aged 7 to 11 years. The age-adjusted National Cholesterol Education Program definition was used for the diagnosis of metabolic syndrome. The following parameters were tested as possible predictors: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), conicity index (Cindex), and body fat percentage. Results: The prevalence of metabolic syndrome was 13.3% and 36% for boys and girls, respectively. The main anthropometric indicators were: BMI = 0.81 (0.69 – 0.94), WC = 0.79 (0.64 – 0.94), body fat = 0.79 (0.66 – 0.92) and WHR = 0.37 (0.21 – 0.54). Conclusion: WC higher than 78 cm, body fat higher than 41%, and BMI higher than 24.5 kg/m² were considered predictors of metabolic syndrome. The C index and WHR were not considered predictors.Submitted by Ana Valéria de Jesus Moura (anavaleria_131@hotmail.com) on 2012-03-05T17:40:55Z No. of bitstreams: 1 Prediction of Metabolic Syndrome in Children through.pdf: 210694 bytes, checksum: 63689674b7506af6214e985fdbdc5f0d (MD5)Made available in DSpace on 2012-03-05T17:40:55Z (GMT). No. of bitstreams: 1 Prediction of Metabolic Syndrome in Children through.pdf: 210694 bytes, checksum: 63689674b7506af6214e985fdbdc5f0d (MD5) Previous issue date: 2011Metabolic syndromechildpredictionoverweightobesityPrediction of Metabolic Syndrome in Children through Anthropometric IndicatorsArquivos Brasileiros de Cardiologiainfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleengreponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAinfo:eu-repo/semantics/openAccessORIGINALPrediction of Metabolic Syndrome in Children through.pdfPrediction of Metabolic Syndrome in Children through.pdfapplication/pdf210694https://repositorio.ufba.br/bitstream/ri/5504/1/Prediction%20of%20Metabolic%20Syndrome%20in%20Children%20through.pdf63689674b7506af6214e985fdbdc5f0dMD51LICENSElicense.txtlicense.txttext/plain1762https://repositorio.ufba.br/bitstream/ri/5504/2/license.txt1b89a9a0548218172d7c829f87a0eab9MD52TEXTPrediction of Metabolic Syndrome in Children through.pdf.txtPrediction of Metabolic Syndrome in Children through.pdf.txtExtracted texttext/plain22931https://repositorio.ufba.br/bitstream/ri/5504/3/Prediction%20of%20Metabolic%20Syndrome%20in%20Children%20through.pdf.txt9e112d0d65e99cdee93565d6ac2e17f4MD53ri/55042022-08-08 13:17:58.318oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-08-08T16:17:58Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false
dc.title.pt_BR.fl_str_mv Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
dc.title.alternative.pt_BR.fl_str_mv Arquivos Brasileiros de Cardiologia
title Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
spellingShingle Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
Ferreira, Aparecido Pimentel
Metabolic syndrome
child
prediction
overweight
obesity
title_short Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
title_full Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
title_fullStr Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
title_full_unstemmed Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
title_sort Prediction of Metabolic Syndrome in Children through Anthropometric Indicators
author Ferreira, Aparecido Pimentel
author_facet Ferreira, Aparecido Pimentel
Ferreira, Cristiane Batisti
Brito, Ciro José
Pitanga, Francisco José Gondim
Moraes, Clayton Franco
Naves, Luciana Ansaneli
Nóbrega, Otávio de Toledo
França, Nancí Maria de
author_role author
author2 Ferreira, Cristiane Batisti
Brito, Ciro José
Pitanga, Francisco José Gondim
Moraes, Clayton Franco
Naves, Luciana Ansaneli
Nóbrega, Otávio de Toledo
França, Nancí Maria de
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Ferreira, Aparecido Pimentel
Ferreira, Cristiane Batisti
Brito, Ciro José
Pitanga, Francisco José Gondim
Moraes, Clayton Franco
Naves, Luciana Ansaneli
Nóbrega, Otávio de Toledo
França, Nancí Maria de
Ferreira, Aparecido Pimentel
Ferreira, Cristiane Batisti
Brito, Ciro José
Pitanga, Francisco José Gondim
Moraes, Clayton Franco
Naves, Luciana Ansaneli
Nóbrega, Otávio de Toledo
França, Nancí Maria de
dc.subject.por.fl_str_mv Metabolic syndrome
child
prediction
overweight
obesity
topic Metabolic syndrome
child
prediction
overweight
obesity
description 121-125 p.
publishDate 2011
dc.date.issued.fl_str_mv 2011
dc.date.accessioned.fl_str_mv 2012-03-05T17:40:55Z
dc.date.available.fl_str_mv 2012-03-05T17:40:55Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://www.repositorio.ufba.br/ri/handle/ri/5504
dc.identifier.issn.none.fl_str_mv 1678-4170
dc.identifier.number.pt_BR.fl_str_mv 96(2)
identifier_str_mv 1678-4170
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dc.language.iso.fl_str_mv eng
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